AIMC Topic: Vocalization, Animal

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BioCPPNet: automatic bioacoustic source separation with deep neural networks.

Scientific reports Dec 6, 2021
We introduce the Bioacoustic Cocktail Party Problem Network (BioCPPNet), a lightweight, modular, and robust U-Net-based machine learning architecture optimized for bioacoustic source separation across diverse biological taxa. Employing learnable or h...
Animals Acoustics Vocalization, Animal Neural Networks, Computer Machine Learning Humans
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Function of a multimodal signal: A multiple hypothesis test using a robot frog.

The Journal of animal ecology Nov 12, 2021
Multimodal communication may evolve because different signals may convey information about the signaller (content-based selection), increase efficacy of signal processing or transmission through the environment (efficacy-based selection), or modify t...
Animals Male Robotics Anura Territoriality Vocalization, Animal
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Comparing recurrent convolutional neural networks for large scale bird species classification.

Scientific reports Aug 24, 2021
We present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species. We use spectrograms constructed on bird audio recordings from the Cornell Bird Challenge (CBC)2020 dataset, which i...
Birds Deep Learning Vocalization, Animal Animals
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Bioacoustic classification of avian calls from raw sound waveforms with an open-source deep learning architecture.

Scientific reports Aug 3, 2021
The use of autonomous recordings of animal sounds to detect species is a popular conservation tool, constantly improving in fidelity as audio hardware and software evolves. Current classification algorithms utilise sound features extracted from the r...
Deep Learning Acoustics Vocalization, Animal Sound Algorithms Animals Birds Neural Networks, Computer Machine Learning
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Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires.

eLife May 14, 2021
Increases in the scale and complexity of behavioral data pose an increasing challenge for data analysis. A common strategy involves replacing entire behaviors with small numbers of handpicked, domain-specific features, but this approach suffers from ...
Learning Animals Machine Learning Mice Data Analysis Mice, Inbred C57BL Male Mice, Inbred DBA Signal Processing, Computer-Assisted Ultrasonics Behavior, Animal Songbirds Vocalization, Animal
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Analysis of ultrasonic vocalizations from mice using computer vision and machine learning.

eLife Mar 31, 2021
Mice emit ultrasonic vocalizations (USVs) that communicate socially relevant information. To detect and classify these USVs, here we describe VocalMat. VocalMat is a software that uses image-processing and differential geometry approaches to detect U...
Vocalization, Animal Ultrasonic Waves Ultrasonics Software Female Male Mice Animals Machine Learning
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Automatic classification of mice vocalizations using Machine Learning techniques and Convolutional Neural Networks.

PloS one Jan 19, 2021
Ultrasonic vocalizations (USVs) analysis is a well-recognized tool to investigate animal communication. It can be used for behavioral phenotyping of murine models of different disorders. The USVs are usually recorded with a microphone sensitive to ul...
Neural Networks, Computer Machine Learning Mice Support Vector Machine Animals Animal Communication Vocalization, Animal Ultrasonic Waves Ultrasonics
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Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires.

PLoS computational biology Oct 15, 2020
Animals produce vocalizations that range in complexity from a single repeated call to hundreds of unique vocal elements patterned in sequences unfolding over hours. Characterizing complex vocalizations can require considerable effort and a deep intui...
Vocalization, Animal Humans Chiroptera Voice Sound Spectrography Songbirds Algorithms Databases, Factual Computational Biology Cluster Analysis Unsupervised Machine Learning Animals Mice
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Learning to localize sounds in a highly reverberant environment: Machine-learning tracking of dolphin whistle-like sounds in a pool.

PloS one Jun 25, 2020
Tracking the origin of propagating wave signals in an environment with complex reflective surfaces is, in its full generality, a nearly intractable problem which has engendered multiple domain-specific literatures. We posit that, if the environment a...
Acoustics Machine Learning Dolphins Animals Vocalization, Animal
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Statistical learning of transition patterns in the songbird auditory forebrain.

Scientific reports May 12, 2020
Statistical learning of transition patterns between sounds-a striking capability of the auditory system-plays an essential role in animals' survival (e.g., detect deviant sounds that signal danger). However, the neural mechanisms underlying this capa...
Canaries Prosencephalon Machine Learning Animals Vocalization, Animal Male Auditory Perception
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